Predictable phases. Clear deliverables. No surprises.
One to two working sessions to map your current state, business goals, gaps, and constraints. We come out with a written scope document and recommendation.
Documented solution architecture, realistic timeline, and a transparent commercial proposal. No surprises and no hidden scope.
Configuration, development, integrations, data migration, and QA, with weekly demos, regular client touchpoints, and on-the-fly adjustments.
Training, change management, hypercare, and ongoing optimization. We do not disappear at go-live, we stick around until success metrics are confirmed.
The challenges that come up in nearly every conversation we have with clients about custom development.
Every commercial platform has limits. The question is whether you bend the business to fit the software, or extend the software to fit the business. We do the latter.
Most custom code starts strong and degrades. We regularly inherit codebases other teams built in Apex, .NET, Java, Node and Python, stabilize them and bring them back to a maintainable state.
Major platforms ship features on their schedule, not yours. Custom development is how you stop waiting for the roadmap and start shipping outcomes.
AI-native architectures look different from AI-decorated ones. Building AI into the workflow, not just into a sidebar, requires engineering, not just configuration.
Your buyers and your employees use modern consumer-grade apps every day. Custom development is how you meet those expectations inside your business workflows.
Build vs. buy is rarely a clean answer. We help leadership teams evaluate the trade-offs honestly, including the true cost of either path.
Each represents a deep specialization with dedicated playbooks, accelerators, and experienced consultants.
Apex, Lightning Web Components (LWC), custom Flows, OmniStudio, Heroku Connect, Experience Cloud customization, AppExchange-grade managed packages.
React, Next.js, Vue, Remix, SvelteKit. Built with TypeScript, modern testing, CI/CD, and observability, production-grade from day one.
Applications designed around LLMs from the start, RAG, agents, tool use, evaluation frameworks. Claude, OpenAI, Bedrock, Vertex AI as building blocks.
Node, Python, Java, .NET. REST, GraphQL, gRPC, event-driven. Designed for observability, testability, and developer experience.
React Native and native iOS / Android for field service, agent productivity, customer self-service, and operational use cases.
Customer portals, partner portals, broker portals, and employee experiences, built on Experience Cloud, Next.js, or custom stacks depending on requirements.
Every engagement produces working artifacts your team can use long after we leave.
We are platform-neutral and pick what fits, but here are the tools where our team carries deep, hands-on certification.
Engagements are measured by movement on the numbers that matter. These are the directions of travel we commit to.
Working patterns we reuse across engagements, refined through our Salesforce and AI client work since 2017.
A structured method for evaluating build vs. buy decisions that accounts for true total cost, time to value, strategic alignment, and the realities of vendor lock-in.
A blueprint for designing applications that treat LLMs as first-class architectural elements, covering retrieval, tool use, evaluation, and operations.
Our pre-launch readiness checklist covering observability, security, performance, accessibility, and operational handoff.
A repeatable approach to inheriting and stabilizing legacy or distressed codebases without disrupting the business.
Custom Development engagements run across regulated and complex industries. Each combines this capability with sector-specific expertise and regulatory awareness.
A broker-dealer with 140+ associated persons used custom objects and automation to track both sides of capital-raising deals inside Salesforce.
Read the case study → Financial Services — PaymentsA payment-processing ISO consolidated iAccess, Iris, and a stack of point tools into one Salesforce platform with an agent portal and automated underwriting.
Read the case study → Manufacturing & DistributionAfter too many admins overcomplicated its org, a manufacturer streamlined Salesforce, integrated NetSuite, and moved from zero usage to full adoption by 99 reps in 30 days.
Read the case study → Media & Event ProductionAn audio-visual event company replaced five or six disconnected platforms with a Sales Cloud solution built around its unique production and travel workflow.
Read the case study →Consultant-level analysis from the consultants delivering the work.
How to design a Salesforce data model: reuse standard objects first, when to build custom objects, lookup vs master-detail, junction objects, field design, sharing, reporting, licensing and safe changes.
Read the full post →Strategic guidance from certified architects plus production AI deployments. System selection, roadmaps, audits, Agentforce, custom agents, and AI strategy, all under one practice.
Learn more →Align marketing, sales, and customer success into one revenue engine. Process, forecasting, attribution, and tech-stack optimization.
Learn more →Tech Talk
A monthly brief for the people who own Salesforce, AI and revenue technology
What changed in Salesforce and AI this month, and what to do about it.
One email a month. Written by the consultants who deliver the work, not by a marketing team, for the leaders who make the technology decisions.
Consultant analysis, not vendor recaps. One click to leave.
